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Home Tags Medical Technology: Misc.

Tag: Medical Technology: Misc.

DBT + Synthetic Mammography Better at Repeat Screening

RSNA: Deep Learning Model Can Predict Breast Cancer Risk

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DL model using screening mammography biomarkers can improve accuracy for predicting future breast cancer risk

Ernie Test Assignment 2

AI Algorithm Can Detect COVID-19 on Chest X-Rays

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Accuracy of 82 percent achieved with DeepCOVID-XR compared with 81 percent for consensus of five thoracic radiologists

Deep-Learning Algorithm Helps Radiologists ID Cerebral Aneurysm

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Overall performance of radiologists was 0.01 higher in terms of AUC with aid of algorithm

A deep learning model can detect large vessel occlusion using multiphase computed tomography angiography

AI Model Shows Deep Learning Can Detect Large Vessel Occlusion

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Phases 1, 2, 3 of CT angiography together achieved AUC of 0.89 for detecting large vessel occlusion
For children with type 1 diabetes

Closed-Loop System Beneficial for Children With T1DM

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Glucose level within target range for greater percentage of time than with sensor-augmented insulin pump
Older adults with multiple sclerosis who say they use fitness trackers report greater amounts of physical activity

Use of Fitness Trackers May Spur Exercise in Older Adults With MS

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However, only 28 percent of older adults with multiple sclerosis reported using fitness trackers
Among adults with uncontrolled blood pressure

Long-Term Follow-Up Reported for BP Telemonitoring Program

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Over five years, reduced cardiovascular disease events led to cost savings of $1,900 per patient
For patients with acute coronary syndrome

Smartwatch App Compared to Standard ECG for Acute Coronary Syndromes

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Smartwatch ECG has high sensitivity, specificity for normal ECG, ST elevation, non-ST elevation changes
A deep learning model based on chest radiograph images and data from the electronic medical record has better discrimination for smokers at high risk for incident lung cancer than Centers for Medicare & Medicaid Services eligibility

AI Model Using Chest X-Ray May Predict 12-Year Lung Cancer Risk

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CXR-LC model had better discrimination than CMS eligibility, similar performance to PLCO Model 2012
For patients presenting to the emergency department with dyspnea

AI-Enabled ECG Can Identify Left Ventricular Systolic Dysfunction

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LVSD identified with AUC of 0.89, accuracy of 85.9 percent; sensitivity and specificity of 74, 87 percent